In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
The k-D tree is a well-studied acceleration data structure for ray tracing. It is used to organize primitives in a scene to allow efficient execution of intersection operations be...
Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Su...
We consider the problem of broadcasting a large message in a large scale distributed platform. The message must be sent from a source node, with the help of the receiving peers whi...
Recent years have witnessed the emergence of shared sensor networks as integrated infrastructure for multiple applications. It is important to allocate multiple applications in a ...
You Xu, Abusayeed Saifullah, Yixin Chen, Chenyang ...
Boolean satisfiability (SAT) based methods have traditionally been popular for formally verifying properties for digital circuits. We present a novel methodology for formulating a...
Saurabh K. Tiwary, Anubhav Gupta, Joel R. Phillips...